PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-06-11 10:22:41.502635+00:00 (UTC)
In US/Central Time, this is 2024-06-11 05:22:41.502635-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/52806bb91b833333d5cf8cd7adcd98b05ee667b3938154a8c8478edc302ea4e8.png
We are just generating a random time serie here.
../_images/2a0e6ea6a28016e18fb86dba9103405a9a5db18fc8d32ef9305d90fc05469b85.png
../_images/a8dd3045e2e02f20d547863ce1eab1d4714b166239e8cc0ce0aa126368f6c662.png